unsupervised training algorithm

См. также в других словарях:

• Canopy clustering algorithm — The canopy clustering algorithm is an unsupervised clustering algorithm related to the K means algorithm.It is intended to speed up clustering operations on large data sets, where using another algorithm directly may be impractical because of the …   Wikipedia

• Neural network — For other uses, see Neural network (disambiguation). Simplified view of a feedforward artificial neural network The term neural network was traditionally used to refer to a network or circuit of biological neurons.[1] The modern usage of the term …   Wikipedia

• Constellation model — The constellation model is a probabilistic, generative model for category level object recognition in computer vision. Like other part based models, the constellation model attempts to represent an object class by a set of N parts under mutual… …   Wikipedia

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• Support vector machine — Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. Viewing input data as two sets of vectors in an n dimensional space, an SVM will construct a separating hyperplane in that… …   Wikipedia

• Linear classifier — In the field of machine learning, the goal of classification is to group items that have similar feature values, into groups. A linear classifier achieves this by making a classification decision based on the value of the linear combination of… …   Wikipedia

• Clasificador lineal — En el campo del aprendizaje automático, el objetivo del aprendizaje supervisado es usar las características de un objeto para identificar a qué clase (o grupo) pertenece. Un clasificador lineal logra esto tomando una decisión de clasificación… …   Wikipedia Español

• Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… …   Wikipedia

• Mark Borodovsky — is a Regents Professor of Biomedical Engineering and Computational Science and Engineering and Director of Center for Bioinformatics and Computational Genomics at Georgia Tech. He is a Founder of the Georgia Institute of Technology Bioinformatics …   Wikipedia

• Sliding window based part-of-speech tagging — is used to part of speech tag a text. A high percentage of words in a natural language are words which are independently of context can be assigned more than one morphological analysis. The percentage of these ambiguous words is typically around… …   Wikipedia

• Automatic summarization — is the creation of a shortened version of a text by a computer program. The product of this procedure still contains the most important points of the original text. The phenomenon of information overload has meant that access to coherent and… …   Wikipedia